An intelligent method and system for controlling the production cost of magnetic rings

Abstract

The present invention relates to the technical fields of intelligent manufacturing and cost control, and specifically discloses an intelligent cost control method and system for magnetic ring production, including the following steps: Step S01: Target area division, Step S02: Collect magnetic ring production data, Step S03: Preprocess the collected data, Step S04: Process magnetic ring production equipment data, Step S05: Process magnetic ring inventory regulation data, Step S06: Process magnetic ring production energy efficiency data, Step S07: Establish a comprehensive index model for magnetic ring production cost regulation, Step S08: Intelligent magnetic ring cost analysis, and Step S09: Establish a user interface module; Through the intelligent cost control method, the system can collect and analyze various data in the production process in real time, achieve accurate calculation and control of costs, and through the warning and prompt functions, help enterprises take measures for improvement in a timely manner and reduce production costs.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent manufacturing and cost control, and particularly to an intelligent production cost control method and system for magnetic rings. Background Art

[0002] With the rapid development of the electronic information industry, magnetic rings, as key electronic components, play an important role in signal transmission, electromagnetic compatibility, and high-frequency noise suppression, and are widely used in electronic products, communication equipment, and power systems. Their performance directly affects the quality and stability of products. In modern industrial manufacturing, the production efficiency and cost control of magnetic rings are crucial for the competitiveness of the industrial chain. Especially with the progress of technology and the growth of market demand, higher requirements for intelligence and efficiency are put forward for the magnetic ring production process. In this context, the application of intelligent technology provides a new solution for the production cost control of magnetic rings and becomes a key factor for enterprises to improve competitiveness and achieve sustainable development.

[0003] The existing production cost control methods for magnetic rings mainly rely on cumbersome manual management and relatively simple information systems. During the production process, the cost data of each link needs to be manually and detailedly counted and recorded, including equipment status, raw material inventory, magnetic ring turnover rate, warehousing cost, and the energy efficiency of magnetic ring production. After the data collection is completed, cumbersome accounting work is also required to determine the total production cost of magnetic rings.

[0004] However, due to the complexity and diversity of data, the traditional cost control methods also have some disadvantages: First, the traditional manual management and information systems cannot achieve real-time collection and processing of production data, resulting in low cost control efficiency; Second, due to the influence of human factors, errors are prone to occur in the recording and accounting of production data, resulting in insufficient cost control accuracy; In addition, the traditional cost control methods lack effective online quality monitoring and intelligent analysis systems, and product quality control relies on final random inspections, making it difficult to detect and correct quality problems in the production process in a timely manner, affecting cost control and customer satisfaction. Summary of the Invention

[0005] In order to overcome the above-mentioned defects of the prior art, embodiments of the present invention provide an intelligent production cost control method and system for magnetic rings to solve the problems raised in the above background art.

[0006] To achieve the above object, the present invention provides the following technical solution: an intelligent method for controlling the production cost of magnetic rings, comprising the following steps: Step S01: Target area division, Step S02: Collecting magnetic ring production data, Step S03: Preprocessing the collected data, Step S04: Processing magnetic ring production equipment data, Step S05: Processing magnetic ring inventory control data, Step S06: Processing magnetic ring production energy efficiency data, Step S07: Establishing a comprehensive index model for magnetic ring production cost control, Step S08: Intelligent magnetic ring cost analysis, and Step S09: Establishing a user interface module.

[0007] Step S01: Target area division: In the magnetic ring production cost control system, divide the target area into each monitoring sub-area, and sequentially number each monitoring sub-area as 1, 2,..., i,..., n;

[0008] Step S02: Collecting magnetic ring production data: Collect magnetic ring production data of each monitoring sub-area, where the magnetic ring production data includes magnetic ring production equipment health parameters, magnetic ring inventory control parameters, and magnetic ring production energy efficiency parameters;

[0009] Step S03: Preprocessing the collected data: Preprocess the magnetic ring production data of each monitoring sub-area collected in Step S02;

[0010] Step S04: Processing magnetic ring production equipment data: Import the magnetic ring production equipment health parameters obtained after preprocessing in Step S03 into the mathematical model of the magnetic ring production equipment health coefficient, and calculate the magnetic ring production equipment health coefficient of each monitoring sub-area;

[0011] Step S05: Processing magnetic ring inventory control data: Import the magnetic ring inventory control parameters obtained after preprocessing in Step S03 into the mathematical model of the magnetic ring inventory control characteristic coefficient, and calculate the magnetic ring inventory control characteristic coefficient of each monitoring sub-area;

[0012] Step S06: Processing magnetic ring production energy efficiency data: Import the magnetic ring production energy efficiency parameters obtained after preprocessing in Step S03 into the mathematical model of the magnetic ring production energy efficiency evaluation coefficient, and calculate the magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-area;

[0013] Step S07: Establishing a comprehensive index model for magnetic ring production cost control: Import the magnetic ring production equipment health coefficient, magnetic ring inventory control characteristic coefficient, and magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-area calculated in Step S04, Step S05, and Step S06 into the comprehensive index model for magnetic ring production cost control, and calculate the comprehensive index for magnetic ring production cost control of the target area;

[0014] Step S08: Intelligent magnetic ring cost analysis: Compare the comprehensive magnetic ring production cost regulation index calculated in step S07 with the threshold of the comprehensive magnetic ring production cost regulation index to obtain a judgment result, and conduct intelligent cost analysis on the judgment result.

[0015] Step S09: Establish a user interface module: Establish a user interface module for displaying the real-time status, operation data, fault diagnosis analysis report, and warning information of magnetic ring production, and providing an intuitive cost control report and optimization suggestions for the management layer based on the intelligent magnetic ring cost analysis result to support rapid decision-making.

[0016] Preferably, the operation parameters of the magnetic ring production equipment include the number of faults of the magnetic ring production equipment, the vibration amplitude of the magnetic ring production equipment, the actual working time of the magnetic ring production equipment, the planned working time of the magnetic ring production equipment, and the abnormal sound frequency count of the equipment; the magnetic ring inventory regulation parameters include the initial inventory of magnetic ring raw materials, the quantity of magnetic ring raw materials put into storage, the quantity of magnetic ring finished products shipped out, the magnetic ring storage period, the magnetic ring warehousing cost, the magnetic ring order response time, and the annual sales cost of magnetic rings; the magnetic ring production energy efficiency parameters include the total output of magnetic rings during production, the total energy consumption of magnetic rings, the total number of energy types used, and the actual consumption of each energy type.

[0017] Preferably, the specific preprocessing method for the collected data in step S03 is to perform noise reduction processing, outlier detection, and outlier processing on the data through existing filtering technologies.

[0018] Preferably, the calculation model of the health coefficient of the magnetic ring production equipment in each monitoring sub-region is specifically as follows:

[0019] Among them, EHS i represents the health coefficient of the magnetic ring production equipment in the i-th monitoring sub-region, Ff i represents the number of faults of the magnetic ring production equipment in the i-th monitoring sub-region, Va i represents the vibration amplitude of the magnetic ring production equipment in the i-th monitoring sub-region, Va max represents the maximum allowable value of the vibration amplitude of the magnetic ring production equipment, At i represents the actual working time of the magnetic ring production equipment in the i-th monitoring sub-region, Pt i represents the planned working time of the magnetic ring production equipment in the i-th monitoring sub-region, Af i represents the abnormal sound frequency count of the equipment in the i-th monitoring sub-region, Af safe represents the safety threshold of the abnormal sound frequency count of the equipment, Af range represents the safety reference range of the abnormal sound frequency count of the equipment.

[0020] Preferably, the calculation model of the magnetic ring inventory regulation characteristic coefficient for each monitoring sub-region is as follows:

[0021] Among them, ICC i represents the magnetic ring inventory regulation characteristic coefficient of the i-th monitoring sub-region, TR i represents the magnetic ring inventory turnover rate of the i-th monitoring sub-region, CCR i represents the magnetic ring inventory holding cost rate of the i-th monitoring sub-region, O_out i represents the quantity of magnetic ring finished products shipped out from the i-th monitoring sub-region, Rt i represents the magnetic ring order response time of the i-th monitoring sub-region, Csa i represents the annual sales cost of magnetic rings in the i-th monitoring sub-region.

[0022] Preferably, the calculation model of the magnetic ring production energy efficiency evaluation coefficient for each monitoring sub-region is as follows:

[0023] Among them, EEC i represents the magnetic ring production energy efficiency evaluation coefficient of the i-th monitoring sub-region, Pou i represents the total output of magnetic rings during the production period of the i-th monitoring sub-region, Eto i represents the total energy consumption of magnetic rings in the i-th monitoring sub-region, represents the actual consumption of the j-th type of energy in the i-th monitoring sub-region, represents the efficiency coefficient of the j-th type of energy in the i-th monitoring sub-region, and m represents the total number of types of energy used.

[0024] Preferably, the calculation model of the comprehensive index for regulating the production cost of magnetic rings in the target region is as follows:

[0025] Among them, CRCI represents the comprehensive index for regulating the production cost of magnetic rings in the target region, EHS i represents the health coefficient of the magnetic ring production equipment in the i-th monitoring sub-region, ICC i represents the magnetic ring inventory regulation characteristic coefficient of the i-th monitoring sub-region, EEC i represents the magnetic ring production energy efficiency evaluation coefficient of the i-th monitoring sub-region, and k1, k2, and k3 represent constants.

[0026] Preferably, the comprehensive index threshold for regulating the production cost of the magnetic ring is denoted as Δθ. When CRCI > Δθ, it indicates that the comprehensive index for regulating the production cost of the magnetic ring in the target area is greater than the comprehensive index threshold for regulating the production cost of the magnetic ring, indicating that there is no abnormality in the production cost of the magnetic ring in the target area. When CRCI < Δθ, it indicates that the comprehensive index for regulating the production cost of the magnetic ring in the target area is less than the comprehensive index threshold for regulating the production cost of the magnetic ring, indicating that there is an abnormality in the production cost of the magnetic ring in the target area. The abnormal data is generated into an analysis report and a warning signal is issued.

[0027] Preferably, an intelligent control system for the production cost of magnetic rings includes:

[0028] Region division module: In the magnetic ring production cost control system, the target area is divided into each monitoring sub-region, and each monitoring sub-region is numbered 1, 2,..., i,..., n in sequence;

[0029] Data acquisition module: Used to collect the magnetic ring production data of each monitoring sub-region. The magnetic ring production data includes the health parameters of the magnetic ring production equipment, the magnetic ring inventory regulation parameters, and the magnetic ring production energy efficiency parameters, and transmits the collected magnetic ring production data of each monitoring sub-region to the data preprocessing module;

[0030] Data preprocessing module: Used to preprocess the magnetic ring production data of each monitoring sub-region collected by the data acquisition module, and transmit the preprocessed data to the magnetic ring production equipment analysis module, the magnetic ring inventory regulation analysis module, and the magnetic ring production energy efficiency analysis module respectively;

[0031] Magnetic ring production equipment analysis module: Used to import the health parameters of the magnetic ring production equipment obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring production equipment health coefficient, calculate the health coefficient of the magnetic ring production equipment in each monitoring sub-region, and transmit it to the magnetic ring cost comprehensive analysis module;

[0032] Magnetic ring inventory regulation analysis module: Used to import the magnetic ring inventory regulation parameters obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring inventory regulation characteristic coefficient, calculate the magnetic ring inventory regulation characteristic coefficient in each monitoring sub-region, and transmit it to the magnetic ring cost comprehensive analysis module;

[0033] Magnetic ring production energy efficiency analysis module: Used to import the magnetic ring production energy efficiency parameters obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring production energy efficiency evaluation coefficient, calculate the magnetic ring production energy efficiency evaluation coefficient in each monitoring sub-region, and transmit it to the magnetic ring cost comprehensive analysis module;

[0034] Magnetic Ring Cost Comprehensive Analysis Module: It is used to establish a comprehensive index model for regulating the production cost of magnetic rings. The health coefficient of magnetic ring production equipment, the characteristic coefficient of magnetic ring inventory regulation, and the evaluation coefficient of magnetic ring production energy efficiency in each monitored sub-region calculated by the magnetic ring production equipment analysis module, the magnetic ring inventory regulation analysis module, and the magnetic ring production energy efficiency analysis module are imported into the comprehensive index model for regulating the production cost of magnetic rings, and the comprehensive index for regulating the production cost of magnetic rings in the target region is calculated and transmitted to the intelligent magnetic ring cost analysis module;

[0035] Intelligent Magnetic Ring Cost Analysis Module: It is used to establish a threshold for the comprehensive index of regulating the production cost of magnetic rings. The comprehensive index of regulating the production cost of magnetic rings in the target region calculated by the magnetic ring cost comprehensive analysis module is compared with the threshold of the comprehensive index of regulating the production cost of magnetic rings to obtain a judgment result, and an intelligent cost analysis is performed on the judgment result;

[0036] User Interface Module: A user interface module is established, which is used to display the real-time status, operation data, fault diagnosis analysis report, and warning information of magnetic ring production, and provide an intuitive cost control report and optimization suggestions for the management layer according to the intelligent magnetic ring cost analysis result to support rapid decision-making.

[0037] Technical Effects and Advantages of the Present Invention:

[0038] 1. Through the intelligent cost control method of the present invention, the system can collect and analyze various data in the production process in real time, including equipment status, inventory of raw materials, magnetic ring turnover rate, warehousing cost, and magnetic ring production energy efficiency, etc., to achieve accurate calculation and control of costs, which helps enterprises accurately grasp production costs and provide data support for formulating reasonable pricing strategies and market strategies;

[0039] 2. The present invention can timely detect cost anomalies and waste phenomena in the production process, and through the warning and prompt functions, help enterprises take measures for improvement in a timely manner to reduce production costs;

[0040] 3. The present invention transforms the traditional manual management method into an intelligent and automated management method, improving management efficiency; enterprises can understand production situations, cost status and other information in real time through the system, providing strong support for decision-making; at the same time, the system can also automatically generate various reports and analysis reports, reducing the workload of manual statistics and collation. Description of the Drawings

[0041] The present invention is further described with the help of the drawings, but the embodiments in the drawings do not constitute any limitation to the present invention. For those of ordinary skill in the art, other drawings can be obtained according to the following drawings without creative efforts.

[0042] Figure 1 Schematic diagram of the method flow of the present invention.

[0043] Figure 2 Schematic diagram of the overall system structure of the present invention. Specific implementation manners

[0044] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0045] Please refer to Figure 1 As shown, the present invention provides an intelligent method for controlling the production cost of magnetic rings, including the following steps: Step S01: Target area division; Step S02: Collecting magnetic ring production data; Step S03: Preprocessing the collected data; Step S04: Processing magnetic ring production equipment data; Step S05: Processing magnetic ring inventory control data; Step S06: Processing magnetic ring production energy efficiency data; Step S07: Establishing a comprehensive index model for regulating the production cost of magnetic rings; Step S08: Intelligent magnetic ring cost analysis; and Step S09: Establishing a user interface module.

[0046] Step S01: Target area division: In the magnetic ring production cost control system, divide the target area into each monitoring sub-area, and sequentially number each monitoring sub-area as 1, 2,..., i,..., n;

[0047] Step S02: Collecting magnetic ring production data: Collecting magnetic ring production data of each monitoring sub-area, where the magnetic ring production data includes magnetic ring production equipment health parameters, magnetic ring inventory control parameters, and magnetic ring production energy efficiency parameters;

[0048] In this embodiment, it should be specifically noted that the magnetic ring production equipment operation parameters include the number of faults of the magnetic ring production equipment, the vibration amplitude of the magnetic ring production equipment, the actual working time of the magnetic ring production equipment, the planned working time of the magnetic ring production equipment, and the abnormal sound frequency count of the equipment; the magnetic ring inventory control parameters include the initial inventory of magnetic ring raw materials, the incoming quantity of magnetic ring raw materials, the outgoing quantity of magnetic ring finished products, the magnetic ring storage period, the magnetic ring warehousing cost, the magnetic ring order response time, and the annual sales cost of magnetic rings; the magnetic ring production energy efficiency parameters include the total production volume of magnetic rings during the production period, the total energy consumption of magnetic rings, the total number of energy types used, and the actual consumption of each energy type.

[0049] Step S03: Preprocessing the collected data: Preprocessing the magnetic ring production data of each monitoring sub-area collected in Step S02;

[0050] In this embodiment, it should be specifically noted that the pre - processing method for the collected data in step S03 is to perform noise reduction processing, outlier detection, and outlier processing on the data through existing filtering techniques.

[0051] Step S04: Processing of magnetic ring production equipment data: Import the health parameters of the magnetic ring production equipment obtained after pre - processing in step S03 into the mathematical model of the health coefficient of the magnetic ring production equipment, and calculate the health coefficients of the magnetic ring production equipment in each monitored sub - region;

[0052] In this embodiment, it should be specifically noted that the calculation model of the health coefficient of the magnetic ring production equipment in each monitored sub - region is as follows:

[0053] Among them, EHS i represents the health coefficient of the magnetic ring production equipment in the i - th monitored sub - region, Ff i represents the number of failures of the magnetic ring production equipment in the i - th monitored sub - region, Va i represents the vibration amplitude of the magnetic ring production equipment in the i - th monitored sub - region, Va max represents the maximum allowable value of the vibration amplitude of the magnetic ring production equipment, At i represents the actual working time of the magnetic ring production equipment in the i - th monitored sub - region, Pt i represents the planned working time of the magnetic ring production equipment in the i - th monitored sub - region, Af i represents the abnormal sound frequency count of the equipment in the i - th monitored sub - region, Af safe represents the safety threshold of the abnormal sound frequency count of the equipment, Af range represents the safety reference range of the abnormal sound frequency count of the equipment.

[0054] In this embodiment, it should be specifically noted that by calculating the health coefficients of the magnetic ring production equipment in each monitored sub - region, the health status and potential failure risks of the magnetic ring production equipment are evaluated, equipment failures are detected in a timely manner and repaired, production pauses and cost losses caused by equipment failures are reduced, the operation efficiency and stability of the equipment are improved, and thus the cost of magnetic ring production is reduced.

[0055] Step S05: Processing of magnetic ring inventory control data: Import the magnetic ring inventory control parameters obtained after pre - processing in step S03 into the mathematical model of the magnetic ring inventory control characteristic coefficient, and calculate the magnetic ring inventory control characteristic coefficients in each monitored sub - region;

[0056] In this embodiment, it should be specifically noted that the calculation steps of the magnetic ring inventory control characteristic coefficients in each monitored sub - region are as follows:

[0057] Step S051: Calculate the inventory turnover rate of magnetic rings. The calculation model is as follows:

[0058] where TR i represents the inventory turnover rate of magnetic rings in the i-th monitored sub-region, Ist i represents the initial inventory of magnetic ring raw materials in the i-th monitored sub-region, Iin i represents the quantity of magnetic ring raw materials received in the i-th monitored sub-region, O_out i represents the quantity of magnetic ring finished products shipped out in the i-th monitored sub-region, Tst i represents the storage period of magnetic rings in the i-th monitored sub-region;

[0059] Step S052: Calculate the inventory holding cost rate of magnetic rings. The calculation model is as follows:

[0060] where CCR i represents the inventory holding cost rate of magnetic rings in the i-th monitored sub-region, Cwa i represents the warehousing cost of magnetic rings in the i-th monitored sub-region;

[0061] Step S053: Calculate the inventory control characteristic coefficient of magnetic rings. The calculation model is as follows:

[0062] where ICC i represents the inventory control characteristic coefficient of magnetic rings in the i-th monitored sub-region, TR i represents the inventory turnover rate of magnetic rings in the i-th monitored sub-region, CCR i represents the inventory holding cost rate of magnetic rings in the i-th monitored sub-region, O_out i represents the quantity of magnetic ring finished products shipped out in the i-th monitored sub-region, Rt i represents the magnetic ring order response time in the i-th monitored sub-region, Csa i represents the annual sales cost of magnetic rings in the i-th monitored sub-region.

[0063] In this embodiment, it should be specifically noted that by calculating the inventory control characteristic coefficients of each monitored sub-region, monitoring the logistics efficiency of raw material receipt, in-process product transfer, and finished product shipment and the warehousing cost, the number of handling operations is reduced through intelligent logistics management, the storage period is shortened, and thus the warehousing cost of magnetic rings is reduced.

[0064] Step S06: Processing of magnetic ring production energy efficiency data: Import the magnetic ring production energy efficiency parameters obtained after preprocessing in Step S03 into the mathematical model of the magnetic ring production energy efficiency evaluation coefficient, and calculate the magnetic ring production energy efficiency evaluation coefficients of each monitored sub-region;

[0065] In this embodiment, it should be specifically noted that the calculation model of the magnetic ring production energy efficiency evaluation coefficient for each monitoring sub-region is as follows:

[0066] Among them, EEC i represents the magnetic ring production energy efficiency evaluation coefficient of the i-th monitoring sub-region, Pou i represents the total output of magnetic rings during the production period of the i-th monitoring sub-region, Eto i represents the total energy consumption of magnetic rings in the i-th monitoring sub-region, represents the actual consumption of the j-th type of energy in the i-th monitoring sub-region, represents the efficiency coefficient of the j-th type of energy in the i-th monitoring sub-region, and m represents the total number of energy types used.

[0067] In this embodiment, it should be specifically noted that by calculating the magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-region, it is possible to identify which energy types are inefficient in production. According to the calculation results, consider replacing them with cleaner and more efficient energy sources, such as switching from fossil fuels to renewable energy sources like solar, wind, or hydropower, to reduce energy costs and environmental impacts.

[0068] Step S07: Establish a comprehensive index model for magnetic ring production cost control: Import the magnetic ring production equipment health coefficient, magnetic ring inventory control characteristic coefficient, and magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-region calculated in the above steps S04, S05, and S06 into the comprehensive index model for magnetic ring production cost control, and calculate the comprehensive index for magnetic ring production cost control of the target region;

[0069] In this embodiment, it should be specifically noted that the calculation model of the comprehensive index for magnetic ring production cost control of the target region is as follows:

[0070] Among them, CRCI represents the comprehensive index for magnetic ring production cost control of the target region, EHS i represents the magnetic ring production equipment health coefficient of the i-th monitoring sub-region, ICC i represents the magnetic ring inventory control characteristic coefficient of the i-th monitoring sub-region, EEC i represents the magnetic ring production energy efficiency evaluation coefficient of the i-th monitoring sub-region, and k1, k2, and k3 represent constants.

[0071] Step S08: Intelligent magnetic ring cost analysis: Compare the comprehensive index for magnetic ring production cost control of the target region calculated in the above step S07 with the threshold of the comprehensive index for magnetic ring production cost control, obtain a judgment result, and conduct intelligent cost analysis on the judgment result;

[0072] In this embodiment, it should be specifically noted that the comprehensive index threshold for regulating the production cost of the magnetic ring is denoted as Δθ. When CRCI > Δθ, it indicates that the comprehensive index for regulating the production cost of the magnetic ring in the target area is greater than the comprehensive index threshold for regulating the production cost of the magnetic ring, indicating that there is no abnormality in the production cost of the magnetic ring in the target area. When CRCI < Δθ, it indicates that the comprehensive index for regulating the production cost of the magnetic ring in the target area is less than the comprehensive index threshold for regulating the production cost of the magnetic ring, indicating that there is an abnormality in the production cost of the magnetic ring in the target area. An analysis report of the abnormal data is generated and a warning signal is issued.

[0073] Step S09: Establish a user interface module: Establish a user interface module for displaying the real-time status, operation data, fault diagnosis analysis report, and warning information of magnetic ring production, and providing an intuitive cost control report and optimization suggestions for the management layer according to the intelligent magnetic ring cost analysis result to support rapid decision-making.

[0074] Please refer to Figure 2 As shown, the present invention provides an intelligent control system for the production cost of magnetic rings, including a regional division module, a data acquisition module, a data preprocessing module, a magnetic ring production equipment analysis module, a magnetic ring inventory regulation analysis module, a magnetic ring production energy efficiency analysis module, a magnetic ring cost comprehensive analysis module, an intelligent magnetic ring cost analysis module, and a user interface module.

[0075] The output end of the regional division module is electrically connected to the input end of the data acquisition module, the output end of the data acquisition module is electrically connected to the input end of the data preprocessing module, the output end of the data preprocessing module is respectively electrically connected to the input ends of the magnetic ring production equipment analysis module, the magnetic ring inventory regulation analysis module, and the magnetic ring production energy efficiency analysis module. The output end of the magnetic ring production equipment analysis module is electrically connected to the input end of the magnetic ring cost comprehensive analysis module, the output end of the magnetic ring inventory regulation analysis module is electrically connected to the input end of the magnetic ring cost comprehensive analysis module, the output end of the magnetic ring production energy efficiency analysis module is electrically connected to the input end of the magnetic ring cost comprehensive analysis module, the output end of the magnetic ring cost comprehensive analysis module is respectively electrically connected to the input ends of the intelligent magnetic ring cost analysis module and the user interface module, and the output end of the intelligent magnetic ring cost analysis module is electrically connected to the input end of the user interface module.

[0076] The regional division module divides the target area into each monitoring sub-area in the magnetic ring production cost control system, and numbers each monitoring sub-area as 1, 2,..., i,..., n in sequence;

[0077] The data acquisition module is used to collect the magnetic ring production data of each monitored sub-region. The magnetic ring production data includes the health parameters of magnetic ring production equipment, the magnetic ring inventory control parameters, and the magnetic ring production energy efficiency parameters, and transmits the collected magnetic ring production data of each monitored sub-region to the data preprocessing module;

[0078] The data preprocessing module is used to preprocess the magnetic ring production data of each monitored sub-region collected by the data acquisition module, and transmit the preprocessed data to the magnetic ring production equipment analysis module, the magnetic ring inventory control analysis module, and the magnetic ring production energy efficiency analysis module respectively;

[0079] The magnetic ring production equipment analysis module is used to import the health parameters of the magnetic ring production equipment obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring production equipment health coefficient, calculate the magnetic ring production equipment health coefficient of each monitored sub-region, and transmit it to the magnetic ring cost comprehensive analysis module;

[0080] The magnetic ring inventory control analysis module is used to import the magnetic ring inventory control parameters obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring inventory control characteristic coefficient, calculate the magnetic ring inventory control characteristic coefficient of each monitored sub-region, and transmit it to the magnetic ring cost comprehensive analysis module;

[0081] The magnetic ring production energy efficiency analysis module is used to import the magnetic ring production energy efficiency parameters obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring production energy efficiency evaluation coefficient, calculate the magnetic ring production energy efficiency evaluation coefficient of each monitored sub-region, and transmit it to the magnetic ring cost comprehensive analysis module;

[0082] The magnetic ring cost comprehensive analysis module is used to establish a magnetic ring production cost control comprehensive index model, import the magnetic ring production equipment health coefficient, the magnetic ring inventory control characteristic coefficient, and the magnetic ring production energy efficiency evaluation coefficient of each monitored sub-region calculated by the magnetic ring production equipment analysis module, the magnetic ring inventory control analysis module, and the magnetic ring production energy efficiency analysis module into the magnetic ring production cost control comprehensive index model, calculate the magnetic ring production cost control comprehensive index of the target region, and transmit the magnetic ring production cost control comprehensive index to the intelligent magnetic ring cost analysis module;

[0083] The intelligent magnetic ring cost analysis module is used to establish a threshold for the magnetic ring production cost control comprehensive index, compare the magnetic ring production cost control comprehensive index of the target region calculated by the magnetic ring cost comprehensive analysis module with the threshold of the magnetic ring production cost control comprehensive index, obtain a judgment result, and perform intelligent cost analysis on the judgment result;

[0084] The user interface module is established to display the real-time status, operation data, fault diagnosis analysis report, and warning information of magnetic ring production, and provide an intuitive cost control report and optimization suggestions for the management based on the intelligent magnetic ring cost analysis results to support rapid decision-making.

[0085] Finally, the above are only the preferred embodiments of the present invention and are not used to limit the present invention. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

[0086] The above is only the specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art within the technical scope disclosed in the present application can easily think of changes or replacements, which should all be covered by the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.

Claims

1. An intelligent method for controlling the production cost of magnetic rings, characterized in that: The following steps are involved: Step S01: target area division: in the magnetic ring production cost control system, the target area is divided into monitoring sub-areas, and the monitoring sub-areas are numbered 1, 2, ..., i, ..., n in sequence; Step S02: Collecting magnetic ring production data: Collecting magnetic ring production data of each monitoring sub-area, wherein the magnetic ring production data includes health parameters of magnetic ring production equipment, magnetic ring inventory control parameters, and magnetic ring production energy efficiency parameters; Step S03: pre-processing the collected data: pre-processing the magnetic ring production data of each monitoring sub-area collected in step S02; Step S04: Magnetic ring production equipment data processing: importing the health parameters of the magnetic ring production equipment obtained after the pre-processing in step S03 into the mathematical model of the health coefficient of the magnetic ring production equipment, and calculating the health coefficient of the magnetic ring production equipment in each monitoring sub-area; The specific calculation model of the health factor of the magnetic ring production equipment in each monitoring sub-area is as follows: Among them, EHS i Expressed as the health factor of the magnetic ring production equipment in the i-th monitoring sub-area, Ff i It is represented by the number of failures of the magnetic ring production equipment in the i-th monitoring sub-area, Va i It is represented by the vibration amplitude of the magnetic ring production equipment in the i-th monitoring sub-area, Va max It is expressed as the maximum value allowed by the vibration amplitude of the magnetic ring production equipment, At i It is represented as the actual working time of the magnetic ring production equipment in the i-th monitoring sub-area, Pt i Af is the planned working time of the magnetic ring production equipment in the i-th monitoring sub-area, i It is represented by the frequency count of abnormal sound of the equipment in the ith monitoring sub-area, Af safe It is expressed as the safety threshold of the abnormal sound frequency count of the equipment, Af range Expressed as a safe reference range of abnormal sound frequency counts of the device; Step S05: Magnetic ring inventory control data processing: importing the magnetic ring inventory control parameters obtained after the preprocessing in step S03 into the mathematical model of the magnetic ring inventory control characteristic coefficient, and calculating the magnetic ring inventory control characteristic coefficient of each monitoring sub-area; The calculation model of the characteristic coefficient of magnetic ring inventory control in each monitoring sub-area is as follows: Among them, ICC i Expressed as the magnetic ring inventory control characteristic coefficient of the i-th monitoring sub-area, TR i It is expressed as the magnetic ring inventory turnover rate of the i-th monitoring sub-area, CCR i It is expressed as the holding cost rate of magnetic ring inventory in the ith monitoring sub-area, O_out i It is expressed as the number of finished magnetic ring products shipped out of the ith monitoring sub-area, Rt i It is expressed as the magnetic ring order response time of the ith monitoring sub-area, Csa i It is expressed as the annual sales cost of magnetic rings in the ith monitoring sub-area; Step S06: Magnetic ring production energy efficiency data processing: importing the magnetic ring production energy efficiency parameters obtained after the pre-processing in step S03 into the mathematical model of the magnetic ring production energy efficiency evaluation coefficient, and calculating the magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-area; The calculation model of the magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-area is as follows: Among them, EEC i It is expressed as the energy efficiency evaluation coefficient of the magnetic ring production in the i-th monitoring sub-area, Pou i It is expressed as the total output of magnetic rings during the production period of the i-th monitoring sub-area, Eto i It is expressed as the total energy consumption of the magnetic ring in the i-th monitoring sub-area, It is represented as the actual consumption of the jth energy in the ith monitoring sub-area, It is represented as the efficiency coefficient of the jth energy source in the ith monitoring sub-area, and m is the total number of energy types used; Step S07: Establishing a comprehensive index model for magnetic ring production cost control: importing the magnetic ring production equipment health coefficient, magnetic ring inventory control characteristic coefficient, and magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-area calculated in step S04, step S05, and step S06 into the comprehensive index model for magnetic ring production cost control, and calculating the comprehensive index for magnetic ring production cost control in the target area; The calculation model of the comprehensive index of magnetic ring production cost control in the target area is as follows: Among them, CRCI is the comprehensive index of magnetic ring production cost control in the target area, EHS i It is expressed as the health coefficient of the magnetic ring production equipment in the i-th monitoring sub-area, ICC i It is expressed as the magnetic ring inventory control characteristic coefficient of the i-th monitoring sub-area, EEC i It is represented as the energy efficiency evaluation coefficient of magnetic ring production in the ith monitoring sub-area, and k1, k2 and k3 represent constants; Step S08: Intelligent magnetic ring cost analysis: compare the target area magnetic ring production cost control comprehensive index calculated in step S07 with the magnetic ring production cost control comprehensive index threshold, obtain a judgment result, and perform intelligent cost analysis on the judgment result; Step S09: Establishing a user interface module: Establishing a user interface module to display the real-time status, operation data, fault diagnosis analysis report, and early warning information of magnetic ring production, and based on the intelligent magnetic ring cost analysis results, provide the management with intuitive cost control reports and optimization suggestions to support quick decision-making.

2. The intelligent magnetic ring production cost control method according to claim 1 is characterized in that: The health parameters of the magnetic ring production equipment include the number of failures of the magnetic ring production equipment, the vibration amplitude of the magnetic ring production equipment, the actual working time of the magnetic ring production equipment, the planned working time of the magnetic ring production equipment, and the frequency count of abnormal sound of the equipment; the magnetic ring inventory control parameters include the initial inventory of magnetic ring raw materials, the number of magnetic ring raw materials entering the warehouse, the number of magnetic ring finished products leaving the warehouse, the magnetic ring storage cycle, the magnetic ring storage cost, the magnetic ring order response time, and the annual sales cost of magnetic rings; the magnetic ring production energy efficiency parameters include the total output of magnetic rings during the production period, the total energy consumption of magnetic rings, the total number of energy types used, and the actual consumption of energy types.

3. The intelligent magnetic ring production cost control method according to claim 1 is characterized in that: The method of preprocessing the collected data in step S03 is specifically to perform noise reduction, outlier detection, and outlier processing on the data through existing filtering technology.

4. The intelligent magnetic ring production cost control method according to claim 1 is characterized in that: The threshold of the comprehensive index for regulating the production cost of magnetic rings is expressed as Δθ. When CRCI>Δθ, it indicates that the comprehensive index for regulating the production cost of magnetic rings in the target area is greater than the threshold of the comprehensive index for regulating the production cost of magnetic rings, indicating that there is no abnormality in the production cost of magnetic rings in the target area. When CRCI<Δθ, it indicates that the comprehensive index for regulating the production cost of magnetic rings in the target area is less than the threshold of the comprehensive index for regulating the production cost of magnetic rings, indicating that there is an abnormality in the production cost of magnetic rings in the target area. An analysis report is generated for the abnormal data and an early warning signal is issued.

5. An intelligent magnetic ring production cost control system, used to implement the intelligent magnetic ring production cost control method described in any one of claims 1 to 4, characterized in that: include: Area division module: in the magnetic ring production cost control system, the target area is divided into monitoring sub-areas, and each monitoring sub-area is numbered 1, 2, ..., i, ..., n in sequence; Data acquisition module: used to collect the magnetic ring production data of each monitoring sub-area, the magnetic ring production data includes the health parameters of the magnetic ring production equipment, the magnetic ring inventory control parameters, and the magnetic ring production energy efficiency parameters, and transmit the collected magnetic ring production data of each monitoring sub-area to the data preprocessing module; Data preprocessing module: used to preprocess the ring magnetic production data of each monitoring sub-area collected by the data collection module, and transmit the preprocessed data to the magnetic ring production equipment analysis module, the magnetic ring inventory control analysis module, and the magnetic ring production energy efficiency analysis module respectively; Magnetic ring production equipment analysis module: used to import the health parameters of the magnetic ring production equipment obtained after preprocessing by the data preprocessing module into the mathematical model of the health coefficient of the magnetic ring production equipment, calculate the health coefficient of the magnetic ring production equipment in each monitoring sub-area, and transmit it to the comprehensive analysis module of the magnetic ring cost; Magnetic ring inventory control analysis module: used to import the magnetic ring inventory control parameters obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring inventory control characteristic coefficient, calculate the magnetic ring inventory control characteristic coefficient of each monitoring sub-area, and transmit it to the magnetic ring cost comprehensive analysis module; Magnetic ring production energy efficiency analysis module: used to import the magnetic ring production energy efficiency parameters obtained after preprocessing by the data preprocessing module into the mathematical model of the magnetic ring production energy efficiency evaluation coefficient, calculate the magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-area, and transmit it to the magnetic ring cost comprehensive analysis module; Magnetic ring cost comprehensive analysis module: used to establish a comprehensive index model for magnetic ring production cost control, import the magnetic ring production equipment health coefficient, magnetic ring inventory control characteristic coefficient, and magnetic ring production energy efficiency evaluation coefficient of each monitoring sub-area calculated by the magnetic ring production equipment analysis module, the magnetic ring inventory control analysis module, and the magnetic ring production energy efficiency analysis module into the magnetic ring production cost control comprehensive index model, calculate the magnetic ring production cost control comprehensive index of the target area, and transmit the magnetic ring production cost control comprehensive index to the intelligent magnetic ring cost analysis module; Intelligent magnetic ring cost analysis module: used to establish a threshold value of the comprehensive index of magnetic ring production cost control, compare the comprehensive index of magnetic ring production cost control in the target area calculated by the magnetic ring cost comprehensive analysis module with the threshold value of the comprehensive index of magnetic ring production cost control, obtain a judgment result, and perform intelligent cost analysis on the judgment result; User interface module: Establish a user interface module to display the real-time status, operation data, fault diagnosis analysis report, and early warning information of magnetic ring production, and provide management with intuitive cost control reports and optimization suggestions based on the intelligent magnetic ring cost analysis results to support quick decision-making.

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